Contextual problem detection and management during software execution in complex environments

Purpose – From the point of view of computing environments, the paper aims to present a goal‐based contextual problem detection and management (GCPDM) method whose core benefit in its extendability of detection capability to deal with unpredicted problems. Design/methodology/approach – Approaches the subject by designing a goal graph, designing actions, designing achievable relations between actions and goals, defining contextual factors of each action, defining CCGs and implementing the GCPD engine. Findings – That self‐managed, as opposed to traditional, software is designed to avoid runtime failures by adapting to unpredictable situations. Originality/value – This paper presents a GCPDM method.